Tuesday, September 02, 2025

 

When the crowds left, reefs came alive at Hanauma Bay





University of Hawaii at Manoa

Hawaiian monk seal 

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An endangered Hawaiian monk seal takes a snooze. The marine mammal is among the species to benefit from reduced tourism at Hanauma Bay during the pandemic closure.

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Credit: Fabien Vivier, Hawai’i Institute of Marine Biology Marine Mammal Research Program





Hanauma Bay Nature Preserve, a popular Hawai’i snorkeling destination that attracts nearly a million annual visitors, underwent a remarkable and rapid recovery when tourism ceased during the 2020 pandemic. A new study from the Hawaiʻi Institute of Marine Biology (HIMB), published last week in the journal npj Ocean Sustainability, found that this period of human absence led to clearer water, increased sightings of endangered Hawaiian monk seals, and more active fish populations.

“We took advantage of a unique ‘natural experiment’ created by the COVID-19 pandemic,” explains Aviv Suan, Project Manager in HIMB’s Elizabeth Madin Lab, which leverages cutting-edge technology to research human impacts on marine ecosystems. “Hanauma Bay is normally a heavily visited site, but was completely closed to the public for seven months. We collected data on water quality, monk seal sightings, fish abundance, and fish behavior before, during, and after the closure. This allowed us to directly compare how the reef responded to different levels of human activity.”

By measuring the physical and biological health of the ecosystem, the research team found that when human visitors were absent, the reef in Hanauma Bay quickly returned to more natural levels. Fish densities changed and vital herbivores like parrotfish became more active in grazing algae. 

“The ecosystem responded in remarkable ways,” shares Dr. Elizabeth Main, lead author of the study and principal investigator of the Elizabeth Madin Lab. "The water became noticeably clearer, endangered Hawaiian monk seals started showing up more often, and fish numbers increased. These kinds of changes happened quickly, suggesting that everyday human presence can have a real and measurable impact on reef health. It’s a powerful reminder of just how sensitive and responsive coral reef ecosystems are to our activity.”

The team’s findings provide a clear and powerful message: coral reef ecosystems are incredibly resilient, and at least some key parts of the ecosystem can begin to recover quickly when human pressures are reduced.

“Hanauma Bay is one of the most iconic marine ecosystems in the state,” emphasizes Suan. “By observing what happened when people were absent, we saw nearly immediate benefits for key parts of the ecosystem. This study is an example of how research at the University of Hawai‘i can directly serve the people of Hawai‘i by helping to guide reef management, protect natural resources, and support a more sustainable future for both ecosystems and local communities.”

This research serves as a valuable case study for marine managers not just in Hawaiʻi, but around the world, and provides a science-based roadmap for sustainable tourism and effective conservation strategies that can benefit both the environment and the economy.

“Putting caps on the number of visitors to reefs—especially those that are currently unregulated—could help restore lost ecological function and ease human pressures while still maintaining access,” explains Madin. “Protecting these ecosystems doesn’t have to come at the cost of the economy. Yes, reef tourism brings in billions of dollars each year, both globally and here in Hawai‘i. In fact, research shows that many visitors are willing to pay more to experience healthier, more vibrant reefs. That means we can potentially reduce crowding and still support the tourism industry and everyone who depends on it—if we manage it wisely.”

  

Vital herbivores like parrotfish became more active in grazing algae during Hanauma Bay’s break from tourism.

Credit

Don Loarie

Removing yellow stains from fabric with blue light



American Chemical Society

Removing yellow stains from fabric with blue light 

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Exposing a sweat-like stain on cotton (left image) to a blue LED light for 10 minutes significantly removed the yellow color (right image).

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Credit: Tomohiro Sugahara





Sweat and food stains can ruin your favorite clothes. But bleaching agents such as hydrogen peroxide or dry-cleaning solvents that remove stains aren’t options for all fabrics, especially delicate ones. Now, researchers in ACS Sustainable Chemistry & Engineering report a simple way to remove yellow stains using a high-intensity blue LED light. They demonstrate the method’s effectiveness at removing stains from orange juice, tomato juice and sweat-like substances on multiple fabrics, including silk.

“Our method utilizes visible blue light in combination with ambient oxygen, which acts as the oxidizing agent to drive the photobleaching process,” says Tomohiro Sugahara, the study’s corresponding author. “This approach avoids the use of harsh chemical oxidants typically required in conventional bleaching methods, making it inherently more sustainable.”

Yellow clothing stains are caused by squalene and oleic acid from skin oils and sweat, as well as natural pigments like beta carotene and lycopene, present in oranges, tomatoes and other foods. UV light is a potential stain-removing alternative to chemical oxidizers like bleach and hydrogen peroxide, but it can damage delicate fabrics. Sugahara and Hisanari Yoneda previously determined that a high-intensity blue LED light could remove yellow color from aged resin polymers, and they wanted to see whether blue light could also break down yellow stains on fabric without causing damage.

Initially, they exposed vials of beta-carotene, lycopene and squalene to high-intensity blue LED light for three hours. All the samples lost color, and spectroscopic analyses indicated that oxygen in the air helped the photobleaching process by breaking bonds to produce colorless compounds. Next, the team applied squalene onto cotton fabric swatches. After heating the swatches to simulate aging, they treated the samples for 10 minutes, by soaking them in a hydrogen peroxide solution or exposing them to the blue LED or UV light. The blue light reduced the yellow stain substantially more than the hydrogen peroxide or UV exposure. In fact, UV exposure generated some new yellow-colored compounds. Additional tests showed that the blue LED treatment lightened squalene stains on silk and polyester without damaging the fabrics. The method also reduced the color of other stain-causing substances, including aged oleic acid, orange juice and tomato juice, on cotton swatches.

High-intensity blue LED light is a promising way to remove clothing stains, but the researchers say they want to do additional colorfastness and safety testing before commercializing a light system for home and industrial use.

The authors do not have an external funding source for this work. They are employed by Asahi Kasei Corporation, a company that develops fiber products, chemicals and electronic materials.

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The American Chemical Society (ACS) is a nonprofit organization founded in 1876 and chartered by the U.S. Congress. ACS is committed to improving all lives through the transforming power of chemistry. Its mission is to advance scientific knowledge, empower a global community and champion scientific integrity, and its vision is a world built on science. The Society is a global leader in promoting excellence in science education and providing access to chemistry-related information and research through its multiple research solutions, peer-reviewed journals, scientific conferences, e-books and weekly news periodical Chemical & Engineering News. ACS journals are among the most cited, most trusted and most read within the scientific literature; however, ACS itself does not conduct chemical research. As a leader in scientific information solutions, its CAS division partners with global innovators to accelerate breakthroughs by curating, connecting and analyzing the world’s scientific knowledge. ACS’ main offices are in Washington, D.C., and Columbus, Ohio.

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Ancient mammoth remains yield the world's oldest host-associated bacterial DNA




Stockholm University

Mammoth Tooth 

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Photo: Love Dalén

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Credit: Photo: Love Dalén




An international team led by researchers at the Centre for Palaeogenetics, has uncovered microbial DNA preserved in woolly and steppe mammoth remains dating back more than one million years. The analyses reveal some of the world's oldest microbial DNA ever recovered, as well as the identification of bacteria that possibly caused disease in mammoths. The findings are published in Cell.

Researchers at the Centre for Palaeogenetics, a collaboration between Stockholm University and the Swedish Museum of Natural History, analyzed microbial DNA from 483 mammoth specimens, of which 440 were sequenced for the first time. Among them was a steppe mammoth that lived about 1.1 million years ago. Using advanced genomic and bioinformatic techniques, the team distinguished microbes that once lived alongside the mammoths from those that invaded their remains after death.

“Imagine holding a million-year-old mammoth tooth. What if I told you it still carries traces of the ancient microbes that lived together with this mammoth? Our results push the study of microbial DNA back beyond a million years, opening up new possibilities to explore how host-associated microbes evolved in parallel with their hosts,” says Benjamin Guinet, a postdoctoral fellow at the Centre for Palaeogenetics and lead author of the study.

Six microbial clades persisted across time and space

The analyses identified six microbial groups consistently associated with mammoth hosts, including relatives of ActinobacillusPasteurellaStreptococcus, and Erysipelothrix. Some of these microbes may have been pathogenic. For instance, one Pasteurella-related bacterium identified in the study is closely related to a pathogen that has caused fatal outbreaks in African elephants. Since African and Asian elephants are the closest living relatives of mammoths, these findings raise questions about whether mammoths may also have been vulnerable to similar infections.

Remarkably, the team reconstructed partial genomes of Erysipelothrix from a 1.1-million-year-old steppe mammoth, representing the oldest known host-associated microbial DNA ever recovered. This pushes the limits of what researchers can learn about the interactions between ancient hosts and their microbiomes.

“As microbes evolve fast, obtaining reliable DNA data across more than a million years was like following a trail that kept rewriting itself. Our findings show that ancient remains can preserve biological insights far beyond the host genome, offering us perspectives on how microbes influenced adaptation, disease, and extinction in Pleistocene ecosystems,” says Tom van der Valk, senior author and researcher at the Centre for Palaeogenetics.

A new window into ancient ecosystems

Although the exact impact of the identified microbes on mammoth health is difficult to determine due to DNA degradation and limited comparative data, the study provides an unprecedented glimpse into the microbiomes of extinct megafauna. The results suggest that some microbial lineages coexisted with mammoths for hundreds of thousands of years, spanning both wide geographic ranges and evolutionary timescales, from over one million years ago to the extinction of woolly mammoths on Wrangel Island about 4,000 years ago.

“This work opens a new chapter in understanding the biology of extinct species. Not only can we study the genomes of mammoths themselves, but we can now begin to explore the microbial communities that lived inside them,” says Love Dalén, Professor of Evolutionary Genomics at the Centre for Palaeogenetics.

Published in Cell. DOI: 10.1016/j.cell.2025.08.003


Mammoth Foot 

Stockholm University

 

How do plants coordinate flowering with light and temperature conditions?



Salk Scientists discover genetic module that helps plants fine-tune their flowering to optimal environmental conditions




Salk Institute

Flowering 

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Flowering Arabidopsis thaliana

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Credit: Salk Institute





Background: Plants may be stuck in one place, but the world around them is constantly changing. In order to grow and flower at the right time, plants must constantly collect information about their surroundings, measuring things like temperature, brightness, and length of day. Still, it’s unclear how all this information gets combined to trigger specific behaviors.

New findings: Scientists at the Salk Institute have discovered a genetic mechanism for how plants integrate light and temperature information to control their flowering.

In a new study published in Nature Communications on August 26, 2025, the researchers found an interaction between two genetic pathways that signals the presence of both blue light and low temperature. This genetic module helps plants fine-tune their flowering to the optimal environmental conditions.

In one pathway, blue light activates the PHOT2 blue light receptor, with help from partner protein NPH3. In another pathway, low ambient temperature allows a transcription factor called CAMTA2 to boost the expression of a gene called EHB1. Importantly, EHB1 is known to interact with NPH3, placing NPH3 at the convergence point of the blue light and low temperature signals. This genetic architecture effectively works as a coincidence detector, linking the presence of blue light and low temperature to guide the switch to flowering.

Why this is important: The Salk study describes an important component of plant growth, reproduction, and information processing. The newly discovered genetic module allows plants to have fine control over their flowering in low temperatures. Understanding this system will now help Salk’s Harnessing Plants Initiative optimize crop growth under changing environmental conditions. 

Author quote: “When animals don't like the environment that they are in, they move,” says first author of the study Adam Seluzicki, a staff researcher at Salk. “Plants don't have this option, so they collect as much information as they can to understand their environment and respond appropriately. We have now discovered a genetic system that plants use to combine blue light and low temperature information to regulate an important step in their growth and reproduction, which will have important implications for future food production.”

Other authors: Other authors include Joanne Chory of Salk. This manuscript is dedicated to Chory, one of the world’s most influential plant biologists, who passed away on November 12, 2024.

Funding: The work was supported by the National Institutes of Health (R35 GM122604, P30 014195, S10 OD026929), the Howard Hughes Medical Institute, the Chapman Foundation, the Helmsley Charitable Trust, and the Salk Institute Pioneer Postdoctoral Endowment Fund.

About the Salk Institute for Biological Studies:

Unlocking the secrets of life itself is the driving force behind the Salk Institute. Our team of world-class, award-winning scientists pushes the boundaries of knowledge in areas such as neuroscience, cancer research, aging, immunobiology, plant biology, computational biology, and more. Founded by Jonas Salk, developer of the first safe and effective polio vaccine, the Institute is an independent, nonprofit research organization and architectural landmark: small by choice, intimate by nature, and fearless in the face of any challenge. Learn more at www.salk.edu.

WiFi signals can measure heart rate—no wearables needed



Engineers prove their technique is effective even with the lowest-cost WiFi devices




University of California - Santa Cruz

Pulse-Fi 

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Computer Science and Engineering Ph.D. student Nayan Bhatia demonstrates Pulse-Fi, technology that uses WiFi signals to measure a person's heart rate.

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Credit: Erika Cardema/UC Santa Cruz





Heart rate is one of the most basic and important indicators of health, providing a snapshot into a person’s physical activity, stress and anxiety, hydration level, and more. 

Traditionally, measuring heart rate requires some sort of wearable device, whether that be a smart watch or hospital-grade machinery. But new research from engineers at the University of California, Santa Cruz, shows how the signal from a household WiFi device can be used for this crucial health monitoring with state-of-the-art accuracy—without the need for a wearable.

Their proof of concept work demonstrates that one day, anyone could take advantage of this non-intrusive WiFi-based health monitoring technology in their homes. The team proved their technique works with low-cost WiFi devices, demonstrating its usefulness for low resource settings.

A study demonstrating the technology, which the researchers have coined “Pulse-Fi,” was published in the proceedings of the 2025 IEEE International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) .

Measuring with WiFi

A team of researchers at UC Santa Cruz's Baskin School of Engineering that included Professor of Computer Science and Engineering Katia Obraczka, Ph.D. student Nayan Bhatia, and high school student and visiting researcher Pranay Kocheta designed a system for accurately measuring heart rate that combines low-cost WiFi devices with a machine learning algorithm. 

WiFi devices push out radio frequency waves into physical space around them and toward a receiving device, typically a computer or phone. As the waves pass through objects in space, some of the wave is absorbed into those objects, causing  mathematically detectable changes in the wave. 

Pulse-Fi uses a WiFi transmitter and receiver, which runs Pulse-Fi's signal processing and machine learning algorithm. They trained the algorithm to distinguish even the faintest variations in signal caused by a human heart beat by filtering out all other changes to the signal in the environment or caused by activity like movement. 

“The signal is very sensitive to the environment, so we have to select the right filters to remove all the unnecessary noise,” Bhatia said. 

Dynamic results

The team ran experiments with 118 participants and found that after only five seconds of signal processing, they could measure heart rate with clinical-level accuracy. At five seconds of monitoring, they saw only half a beat-per-minute of error, with longer periods of monitoring time increasing the accuracy. 

The team found that the Pulse-Fi system worked regardless of the position of the equipment in the room or the person whose heart rate was being measured—no matter if they were sitting, standing, lying down, or walking, the system still performed. For each of the 118 participants, they tested 17 different body positions with accurate results

These results were found using ultra-low-cost ESP32 chips, which retail between $5 and $10 and Raspberry Pi chips, which cost closer to $30. Results from the Raspberry Pi experiments show even better performance. More expensive WiFi devices like those found in commercial routers would likely further improve the accuracy of their system.  

They also found that their system had accurate performance with a person three meters, or nearly 10 feet, away from the hardware. Further testing beyond what is published in the current study shows promising results for longer distances.

“What we found was that because of the machine learning model, that distance apart basically had no effect on performance, which was a very big struggle for past models,” Kocheta said. “The other thing was position—all the different things you encounter in day to day life, we wanted to make sure we were robust to however a person is living.”

Creating the dataset 

To make their heart rate detection system work, the researchers needed to train their machine learning algorithm to distinguish the faint detections in WiFi signals caused by a human heartbeat. They found that there was no existing data for these patterns using an ESP32 device, so they set out to create their own dataset. 

In the UC Santa Cruz Science and Engineering library, they set up their ESP32 system along with a standard oximeter to gather “ground truth” data. By combining the data from the Pulse-Fi setup with the ground truth data, they could teach a neural network which changes in signals corresponded with heart rate.  

In addition to the ESP32 dataset they collected, they also tested Pulse-Fi using a dataset produced by a team of researchers in Brazil using a Raspberry Pi device, which created the most extensive existing dataset on WiFi for heart monitoring, as far as the researchers are aware. 

Beyond heart rate

Now, the researchers are working on further research to extend their technique to detect breathing rate in addition to heart rate, which can be useful for the detection of conditions like sleep apnea. Unpublished results show high promise for accurate breathing rate and apnea detection.

Those interested in commercial use of this technology can contact Assistant Director of Innovation Transfer Marc Oettinger: marc.oettinger@ucsc.edu.